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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Learning Velocity Tracker with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyze study efficiency and predict completion timelines by correlating time investment with knowledge retention.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Learning Velocity Tracker capability set.

These are the exact actions your AI can choose when you ask it to work with Learning Velocity Tracker.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Learning Velocity Tracker.

  1. 01

    Analyze subject mastery

    Analyzes proficiency level for a specific subject

  2. 02

    Identify low yield topics

    Identifies bottleneck topics

  3. 03

    Predict completion timeline

    Predicts completion date for the curriculum

  4. 04

    Calculate global velocity

    Calculates overall learning pace

Observed, not estimated

631ms average. Fast in production.

Learning Velocity Tracker is checked daily against the live service.

Daily averagePeak 700ms
Aug 20Today
Fastest day
524ms
Slowest day
700ms
14-day trend
Slowing+19%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Learning Velocity Tracker, so you can see the experience inside your AI.

It does not authenticate your account with Learning Velocity Tracker. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Learning Velocity Tracker Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Learning Velocity Tracker capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "learning-velocity-tracker-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Learning Velocity Tracker owners ask.

  • 01

    How does the capability calculate learning velocity?

    It calculates velocity by dividing the total number of completed topics by the cumulative time spent on all studied topics, converted into hours.

  • 02

    What is a 'low yield' topic?

    A topic is flagged as low yield if it requires a high amount of study time but results in a low mastery rate, indicating an inefficient use of your study sessions.

  • 03

    Can I predict completion for a specific subject?

    Yes, by using the predict_completion_timeline capability and providing a target subject name, you can get an estimate of remaining hours and a projected completion date.

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